2 citations · 2 across the 4 of their papers we have counts for
4 papers
Robust Mitigation of Age-Dependent Confounding Effects via Sample-Difficulty Decorrelation
Nikhil Cherian Kurian, Victor Caquilpan Parra, Abin Shoby +2
Age dependent performance disparities in medical image classification often arise because age acts as a confounder, linking imaging morphology with disease prevalence. In practice,…
Worst-Group Equalized Odds Regularization for Multi-Attribute Fair Medical Image Classification
Nikhil Cherian Kurian, Victor Caquilpan Parra, Abin Shoby +6
Diagnostic performance in medical AI varies systematically across demographic groups, yet subgroup AUC can mask clinically important disparities. At a fixed inference-time operatin…
Denoising diffusion networks for normative modeling in neuroimaging
Luke Whitbread, Lyle J. Palmer, Mark Jenkinson
Normative modeling estimates reference distributions of biological measures conditional on covariates, enabling centiles and clinically interpretable deviation scores to be derived…
Uncertainty categories in medical image segmentation: a study of source-related diversity
Luke Whitbread, Mark Jenkinson
Measuring uncertainties in the output of a deep learning method is useful in several ways, such as in assisting with interpretation of the outputs, helping build confidence with en…